TOPSIS算法在库存策略评价中的应用分析

本文从库存资金周转率、服务水平、缺货率、平均供应费用四个评价指标着手,应用TOPSIS法对供应商进行评价优选,用实例表明TOPSIS法评估选择供应商是可行的,具有较好的合理性和适用性。     

基于ANP/TOPSIS方法的研发阶段供应商早期参与评价选择

ANP与TOPSIS方法都是比较成熟的方法,在供应商评价选择中会经常用到。本文中的早期是以产品生命周期中从产品立项、研发设计与验证、工艺设计与验证、量产导入期作为要研究的阶段。该阶段企业可以结合具体研发项目,运用QFD工具提取选择合适的评价指标,使用网络分析法(ANP)确定评价指标的权重,运用TOPSIS法进行候选供应商的优劣度排序,帮助企业准确评价选择早期参与研发阶段的供应商。     

基于熵权与TOPSIS结合的农资供应商选择

为了保证农产品供应链有序、高效运作,需要核心企业根据自身目标与价值取向选择最佳农资供应商为合作伙伴。本文采用熵权与TOSIS结合的评价模型,从农资供应商评价指标创建入手,运用熵权法计算各项评价指标的权重,再采用TOPSIS算法对各农资供应商进行评价,最终确定最佳农资供应商。     

军队物资集中采购供应商综合评价研究

本文针对军队物资集中采购中供应商选择存在的问题,采用层次分析法和熵权法组合赋权,建立了军队物资集中采购供应商的综合评价指标体系,其次是选用TOPSIS(逼近理想解的排序方法)建立供应商综合评价模型,进行算例分析,验证了该方法的有效性和实用性。     

基于改进TOPSIS的供应商评价模型研究

在市场竞争日益加剧的情况下,供应商选择已经成为增强企业竞争力的核心问题.本文分析了影响供应商选择的因素;在构建供应商选择评价指标体系的基础上,运用了主客观相结合、定性定量相结合的方法建立了基于改进TOPSIS的供应商选择评价模型,最后通过实例计算,验证了该方法的有效性、可行性.     

基于TOPSIS的工程项目综合评价研究

本文首先简要介绍了对工程项目进行科学的综合评价的意义以及综合评价指标。在此基础上,文章提出运用TOPSIS法进行工程项目的综合评价,并详细阐述了TOPSIS法的原理。最后,文章进行了实例应用分析。     

基于0-1规划下企业原材料订购与运输的量化关系研究

生产企业原材料的订购与运输对企业的效益具有重要的现实意义。供应商的选择是企业生产与运营的关键,建立供应商优劣的评价指标体系,利用熵权法确定指标的权重,并运用TOPSIS法实现对各供应商的综合评价。通过时间序列分析实现对未来24周供应商的供货量及转运商运输损耗率的预测。企业对供应商提供的原材料全部收购,一家供应商的原材料由一家转运商运输,可运用0-1规划解决此类指派问题,建立企业原材料订购与运输的优化模型,运用Monte-Carlo和模拟退火算法对原材料订购及转运过程进行系统模拟,借助MATLAB求解优化模型,最终确定未来24周的订购及转运方案。     

基于组合权重和TOPSIS的应急物流预案评价

针对物流应急预案评价指标体系的特点,本文提出了一种基于组合权重和TOPSIS的评价模型。先通过构造模糊一致矩阵来确定一级指标权重,再使用熵权法确定二级指标权重,最后使用TOPSIS方法对所有方案进行排序。应用该模型对10个城市的应急物流预案进行评价,结果表明,该模型计算简单、合理有效,为多级综合评价体系提供了一种新的有价值的参考。     

基于熵权和TOPSIS法我国上市商业银行收益质量评价研究

本文通过文献的研究结合实际,综合建立16家上市商业银行的评价模型。应用熵权法和TOPSIS法分析权重并为其收益质量综合打分,探索我国上市商业银行收益质量的评价。     

基于灰色关联相对贴近度的评价方法研究

针对传统TOPSIS法不能充分挖掘数据的相似性信息的缺点,本文基于灰色关联度测度评价方案与理想方案的相似性信息,并应用差异信息熵的理论,根据指标所蕴含信息量的多少确定评价指标的权重,构建了基于灰色关联相对贴近度的评价模型.结果表明,该方法能够体现不同指标在评价中的重要性,有效解决了传统TOPSIS法不能充分挖掘数据的相似性信息的问题.最后以实例验证了本文评价方法的有效性与实用性.     

A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making

The technique for order preference by similarity to ideal solution (TOPSIS) has become a popular multi-criteria decision making (MCDM) technique, since it has a comprehensible theoretical structure and is able to provide an exact model for decision making. For the use of TOPSIS in group decisions, the common approaches in aggregating individual decision makers’ judgments are the geometric and the arithmetic mean methods, although these are too intuitive and do not consider either preference levels or preference priorities among alternatives for individual decision makers. In this paper, a TOPSIS group decision aggregation model is proposed in which the construction consists of three stages: (1) The weight differences are calculated first as the degrees of preferences among different alternatives for each decision maker; (2) The alternative priorities are then derived, and the highest one can be denoted as the degree to which a decision maker wants his most favorite alternative to be chosen; (3) The group ideal solutions approach in TOPSIS is used for the aggregation of similarities obtained from different decision makers. A comparative analysis is performed, and the proposed aggregation model seems to be more satisfactory than the traditional aggregation model for solving compromise-oriented decision problems.     

大规模定制模式下基于顾客需求的物流服务商选择研究

以大规模定制(MC)为背景,根据企业顾客的服务需求,提出了一个基于质量功能展开(Quality Function Deployment,QFD)和TOPSIS(综合距离评价)算法相结合选择物流服务商的新方法。首先依据QFD的方法,对基于顾客需求的物流服务商进行了详细分析,然后运用TOPSIS算法,综合考虑几项指标,从候选物流供应商中选择满足顾客需求的"理想物流服务商"。最后,通过举例验证思路的科学性和合理性。     

TOPSIS Based Approach to Scoring Negotiating Offers in Negotiation Support Systems

In this paper we analyze the possibility of applying the technique for order preferences by similarity to ideal solution (TOPSIS) to building the scoring system for negotiating offers. TOPSIS is a multiple criteria decision making method that is based on measuring distances between alternatives under consideration and two bipolar reference alternatives, a positive and negative ideal. Thus the criteria used for the evaluation of alternatives should be described using strong scales. However, in the negotiation, the issues are very often described qualitatively, which results in ordinal or even nominal variables that must be taken into consideration in offers’ evaluation process. What is more, TOPSIS may be applied to solving the discrete decision problems while the negotiation space may be defined by the means of continuous variables too. In this paper we try to modify the TOPSIS algorithm to make it applicable to negotiation support and, moreover, discuss the following methodological issues: using TOPSIS for a negotiation problem with continuous negotiation space; selecting the distance measure for adequate representation of negotiator’s preferences and measuring distances for qualitative issues. Finally, we propose a simple additional mechanism that allows for building the TOPSIS-based scoring system for negotiating offers and does not involve negotiators in time consuming and tiresome preference elicitation process. This mechanism requires from negotiators to construct examples of offers that represent some categories of quality and then by using a goal programming approach it infers all the parameters required by the TOPSIS algorithm. We also show a simple prototype software tool that applies the TOPSIS modified algorithm and may be used in electronic negotiation support.     

一种基于TOPSIS信道排序的新频谱切换方案

将接近理想方案的序数偏好法(TOPSIS)应用于认知无线电网络的频谱切换中,通过对 影响切换性能的4个参数的融合,设计了一种基于TOPSIS算法的信道排序方案,通过仿真验 证,设计了各参数的权值。统计结果表明,提出的算法在80%的情况下要优于传统的切换算 法,可以有效减少认知用户的切换次数,提高有效数据传输速率,降低认知用户的通信中断 概率。     

基于GREY—TOPSIS模型对高校教学评价研究

教学评估是教学改革中的一个重要内容。本文运用灰数理论和TOPSI$方法构建评价模型,将定性评价指标与定量分析方法相结合,克服教学评估中的模糊性,对高校教师教学质量进行综合定量评价。最后通过算例分析,该评价模型具有多层次性、可扩展J陛和可操作性等特性。     

Type-2 TOPSIS: A Group Decision Problem When Ideal Values are not Extreme Endpoints

In the traditional TOPSIS, the ideal solutions are assumed to be located at the endpoints of the data interval. However, not all performance attributes possess ideal values at the endpoints. We termed performance attributes that have ideal values at extreme points as Type-1 attributes. Type-2 attributes however possess ideal values somewhere within the data interval instead of being at the extreme end points. This provides a preference ranking problem when all attributes are computed and assumed to be of the Type-1 nature. To overcome this issue, we propose a new Fuzzy DEA method for computing the ideal values and distance function of Type-2 attributes in a TOPSIS methodology. Our method allows Type-1 and Type-2 attributes to be included in an evaluation system without compromising the ranking quality. The efficacy of the proposed model is illustrated with a vendor evaluation case for a high-tech investment decision making exercise. A comparison analysis with the traditional TOPSIS is also presented.     

基于环境因素的企业项目投资决策方法研究

随着企业竞争开始从以产品为重心转向以项目为重心,以及投资项目对生态环境的破坏日益严重的现象,环境因素在企业项目投资决策中占有的地位日益重要。在当前应用较为广泛的折现现金指标的基础上,建立起基于环境因素的企业项目投资决策方法。通过熵权法将企业项目财务收益水平与生态环境质量结合,为企业项目投资决策和未来研究提供参考。     

TOPSIS法及其QBasic编程实现

文章给出了一种基于TOPSIS的多属性决策方法，并通过实例检验了该方法的有效性。同时利用QBasic语言进行编程，得到通用程序。它可以适用于任意有限个评价对象和多属性类型的评价指标的综合评价。     

利用主客观集成赋权法的多目标威胁评估

在利用逼近于理想解的排序法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)进行多目标威胁评估时，针对如何获取合理的目标威胁评估因子的权重比，提出了一种主客观集成赋权方法。该方法首先利用主观赋权法和客观赋权法获取两组权重值；然后，通过构造多目标规划模型，将两组权重值进行综合处理，得到更合理的权重值。仿真结果表明，相较于主观赋权法和客观赋权法，所提方法计算出的威胁评估因子的权重值，在用TOPSIS法计算目标威胁评估时，能够得到更加合理、有效的评估结果。     

矿产资源开发与西部各省区科学发展评价研究

以西部地区矿产资源禀赋为基础,构建了基于＂一目标,三协调,五统筹,六资本＂的区域科学发展评价指标体系,并通过逼近理想点法对评价指标赋权,进而评价了西部各省区的科学发展程度,对西部地区如何以矿产资源开发促进科学发展给出了三种路径：加大对弱势资本、替代资本的投入与管理、优化区域发展资本结构。